Design percentage rollouts and A/B tests with sample size calculations.
npx skills add https://github.com/kid-sid/codex-spellbook --skill feature-flags-kid-sid
Please help me install this Agent Skill. Skill: feature-flags Source: https://github.com/kid-sid/codex-spellbook/tree/main/skills/feature-flags Command: npx skills add https://github.com/kid-sid/codex-spellbook --skill feature-flags-kid-sid
This skill eliminates the risk of unvalidated feature releases, inconsistent feature flag governance, and statistically invalid A/B experiments that waste engineering resources and harm user experience.
Use the feature-flags skill to design a percentage rollout and A/B test for the new user onboarding flow, including sample size calculation and guardrail metric setup.
High-intent search queries and answers about installing and using this skill.
To implement a safe percentage rollout, configure SDK initialization patterns and evaluation context for LaunchDarkly or Unleash, ensuring safe default handling for offline states. This enables gradual ring-based delivery to minimize release risk.
Sticky bucketing ensures users remain in the same experiment variation across sessions by maintaining consistent evaluation context. This prevents metric contamination and ensures statistically valid A/B test results.
Yes, you can use OpenFeature to standardize feature flag evaluation across services. It provides vendor-agnostic SDK initialization and evaluation context configuration, ensuring consistent flag lifecycle governance and safe default handling.
Calculate minimum sample size for a statistically valid A/B experiment by pre-registering sample size requirements and defining guardrail metrics. This prevents premature conclusions and protects against performance or revenue regressions.
The best way to manage stale feature flags is applying standardized naming conventions and stale flag cleanup detection within a three-phase flag migration workflow. This ensures maintainable feature delivery across services.
Prevent concurrent A/B tests from interfering by configuring mutual exclusion rules and sticky bucketing logic. This isolates experiment variants and maintains the statistical validity of multivariate tests.
signalfxAdd OpenTelemetry tracing and metrics to applications via SDK and auto-instrumentation.
spandiosAnalyze A/B test results for statistical significance and actionable recommendations.
jonkikyMonitor live app health and alert on regressions during deployments.
mealpacToggle software features with boolean and percentage-based feature flags.
